Dan and Chris examine whether the 'open vs. closed AI model' debate is becoming irrelevant in 2026. They discuss how physical AI, edge computing, and the maturation of open-source models like LLaMA have shifted the competitive landscape away from model superiority toward agentic systems, workflows, and AI-driven infrastructure. The focus has moved from which model wins to how systems integrate and execute.
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Curious
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Agentic Systems Are the New Competitive Moat
The distinction between models themselves is becoming commoditized; competitive advantage now lies in agentic workflows—the ability to orchestrate models, manage state, handle uncertainty, and execute multi-step reasoning.
Open vs. Closed Model Wars Are Becoming Irrelevant
The distinction between open-source and closed AI models is losing strategic importance as functional capability gaps narrow and the competitive advantage shifts to system integration, agentic workflows, and infrastructure.
LLaMA and Open-Source Models Have Reached Functional Parity
Open-source models, particularly Meta's LLaMA family, have closed the capability gap with proprietary systems on most standard benchmarks and use cases.
AI-Driven Infrastructure Is Becoming the Real Competition
The next battleground in AI is not models but the infrastructure, frameworks, and platforms that integrate, deploy, and orchestrate AI systems at scale.